Radim Rehurek's personal website, showcasing his work, projects, and contributions to the field of Natural Language Processing (NLP) and Machine Learning (ML). The site serves as a portfolio and a resource for those interested in the latest trends and technologies in NLP and ML.
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English, etc
Detailed presentations of various projects Radim has worked on, including Gensim, a popular Python library for topic modeling and document similarity analysis.
Insightful articles and posts on NLP, ML, and AI, sharing Radim's experiences, tips, and the latest research findings.
A comprehensive list of Radim's academic publications, including papers on semantic analysis, topic modeling, and more.
Step-by-step guides and tutorials on using Gensim and other tools for NLP and ML projects.
Information on Radim's contributions to open source projects, emphasizing his commitment to the open source community.
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. It is designed to handle large text collections using data streaming and incremental online algorithms.
Radim has extensive experience in the tech industry, having worked with companies and research institutions on NLP and ML projects.
Active participation in the NLP and ML communities, including speaking at conferences, workshops, and contributing to forums and discussions.
Radim holds a PhD in Computer Science, with a focus on Natural Language Processing and Machine Learning.
For collaborations, inquiries, or more information, Radim can be contacted through the website.
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